Original paper

Dissociating frontoparietal brain networks with neuroadaptive Bayesian optimization

Volume: 9, Issue: 1
Published: Mar 26, 2018
Abstract
Understanding the unique contributions of frontoparietal networks (FPN) in cognition is challenging because they overlap spatially and are co-activated by diverse tasks. Characterizing these networks therefore involves studying their activation across many different cognitive tasks, which previously was only possible with meta-analyses. Here, we use neuroadaptive Bayesian optimization, an approach combining real-time analysis of functional...
Paper Details
Title
Dissociating frontoparietal brain networks with neuroadaptive Bayesian optimization
Published Date
Mar 26, 2018
Volume
9
Issue
1
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